Credit Risk Analyst
40+ Credit Risk Analyst Interview Questions and Answers
Q1. How would you impute missing value when we don't ant to use single value for imputation?
Multiple imputation can be used to impute missing values by creating multiple datasets with imputed values.
Use multiple imputation to create multiple datasets with imputed values
Combine the results from the multiple datasets to obtain a final imputed dataset
Consider using predictive models to impute missing values
Evaluate the quality of imputation using metrics such as mean squared error or R-squared
Q2. How would you perform outlier analysis- detection and treatment?
Outlier analysis involves identifying and treating data points that are significantly different from the rest.
Identify outliers using statistical methods such as box plots, scatter plots, and z-scores.
Determine the cause of the outlier and decide whether to remove it or keep it in the dataset.
Consider the impact of outliers on the analysis and adjust the model accordingly.
Use techniques such as winsorization or data transformation to treat outliers.
Repeat the analysis after t...read more
Credit Risk Analyst Interview Questions and Answers for Freshers
Q3. what all things you check before providing loan for a customer
Before providing a loan, I check the customer's credit score, income, employment history, debt-to-income ratio, and collateral.
Credit score
Income
Employment history
Debt-to-income ratio
Collateral
Q4. How would you perform variable selection before modelling/ multicollinearity?
Variable selection can be done using techniques like correlation matrix, stepwise regression, and principal component analysis.
Check for correlation between variables using correlation matrix
Use stepwise regression to select variables based on their significance
Perform principal component analysis to identify important variables
Check for multicollinearity using variance inflation factor (VIF)
Consider domain knowledge and business requirements while selecting variables
Q5. How do you assess credit worthiness
Assess credit worthiness by analyzing credit history, financial statements, and other relevant data.
Review credit reports and scores
Analyze financial statements and income
Consider employment history and stability
Evaluate debt-to-income ratio
Assess collateral and assets
Look for red flags such as bankruptcies or late payments
Q6. How would you test model performance of classification models?
Model performance of classification models can be tested using various metrics.
Use confusion matrix to calculate accuracy, precision, recall, and F1 score.
ROC curve and AUC can be used to evaluate model's ability to distinguish between positive and negative classes.
Cross-validation can be used to test model's performance on different subsets of data.
Use lift charts to compare model's performance with random selection.
Use KS statistic to measure the separation between positive...read more
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Q7. What is Xgboost? How it is different from Random Forest?
Xgboost is a gradient boosting algorithm used for classification and regression tasks. It is faster and more accurate than Random Forest.
Xgboost stands for Extreme Gradient Boosting
It is a type of gradient boosting algorithm that uses decision trees
It is faster and more accurate than Random Forest
Xgboost uses a more regularized model formalization to control overfitting
Random Forest builds multiple decision trees and combines them to get a more accurate prediction
Xgboost is w...read more
Q8. How would you measure relationship between two features?
The relationship between two features can be measured using correlation coefficient.
Calculate the correlation coefficient using statistical methods.
Correlation coefficient ranges from -1 to 1.
A positive correlation indicates a direct relationship between the features.
A negative correlation indicates an inverse relationship between the features.
A correlation coefficient of 0 indicates no relationship between the features.
Credit Risk Analyst Jobs
Q9. why people around the world are anticipating a recession
Global economic indicators suggest a possible recession.
Trade tensions between US and China have led to a slowdown in global trade.
Many countries are experiencing low economic growth rates.
Central banks are cutting interest rates to stimulate growth.
Inverted yield curves in bond markets indicate investor pessimism.
Political uncertainty, such as Brexit, is causing instability in markets.
Q10. what is Loss function in Logistic Regression?
Loss function in Logistic Regression measures the difference between predicted and actual values.
It is used to optimize the model parameters during training.
The most common loss function used in logistic regression is the binary cross-entropy loss.
The goal is to minimize the loss function to improve the accuracy of the model.
The loss function is calculated using the predicted probabilities and the actual labels.
Other loss functions used in logistic regression include hinge lo...read more
Q11. What is Logistic Regression and when do we use it?
Logistic Regression is a statistical method used to analyze and model the relationship between a binary dependent variable and one or more independent variables.
It is used when the dependent variable is binary (0 or 1).
It estimates the probability of an event occurring based on the values of the independent variables.
It is commonly used in credit risk analysis to predict the likelihood of default.
It can also be used in marketing to predict the likelihood of a customer making ...read more
Q12. what is p value and what it's interpretation?
P value is the probability of obtaining a result as extreme or more extreme than the observed result, assuming the null hypothesis is true.
P value is used in hypothesis testing to determine the significance of a result.
A small p value (less than 0.05) indicates strong evidence against the null hypothesis.
A large p value (greater than 0.05) indicates weak evidence against the null hypothesis.
P value should not be used as the sole criterion for accepting or rejecting a hypothes...read more
Q13. What is the use of Learning rate in Xgboost?
Learning rate controls the step size at each boosting iteration in Xgboost.
Learning rate is a hyperparameter that determines the contribution of each tree in the final output.
A smaller learning rate requires more trees to be added to the model, but can lead to better performance.
A larger learning rate can speed up the training process, but may result in overfitting.
Typical values for learning rate range from 0.01 to 0.2.
Example: setting a learning rate of 0.1 means that each ...read more
Q14. given a 4 coordinates, write a memory efficient program to check if it's forming a square
Program to check if 4 coordinates form a square
Calculate distance between all pairs of points
Check if all distances are equal
Check if diagonals are equal
Use Pythagorean theorem to calculate distance
Q15. Major financial ratios and their implications in credit risk assessment
Financial ratios used in credit risk assessment
Debt-to-Equity Ratio: measures the amount of debt used to finance a company's assets
Current Ratio: measures a company's ability to pay its short-term debts
Interest Coverage Ratio: measures a company's ability to pay its interest expenses
Profit Margin Ratio: measures a company's profitability
Asset Turnover Ratio: measures a company's efficiency in using its assets to generate revenue
Q16. Name any one Indian company which went bankrupt recently
Jet Airways
Jet Airways, once India's largest private airline, filed for bankruptcy in April 2019
The airline had accumulated a debt of over Rs 8,000 crore
Jet Airways had to ground all its flights and lay off thousands of employees
Q17. Market share and market capitalisation of DCB bank?
DCB Bank's market share and market capitalisation are as follows:
As of August 2021, DCB Bank's market share in terms of deposits was 0.7%.
As of August 2021, DCB Bank's market capitalisation was approximately INR 5,800 crores.
DCB Bank's market share and market capitalisation may fluctuate over time based on various factors such as economic conditions, competition, and regulatory changes.
Q18. Various types of financial statements used by banks for credit calculations.
Banks use various financial statements for credit calculations.
Income statement
Balance sheet
Cash flow statement
Statement of retained earnings
Financial ratios
Credit reports
Q19. What is the business model of Amex? (open loop vs close loop)
Amex operates on an open loop business model.
Amex operates as a payment network that partners with various merchants and banks to process transactions.
Open loop systems allow for transactions to be made at a wide range of merchants, both online and offline.
Examples of open loop systems include Visa, Mastercard, and Discover.
Q20. What are the parameters in Xgboost?
Xgboost parameters include learning rate, max depth, subsample, colsample by tree, and more.
Learning rate controls the step size during training.
Max depth limits the depth of each tree.
Subsample controls the fraction of observations to be randomly sampled for each tree.
Colsample by tree controls the fraction of features to be randomly sampled for each tree.
Other parameters include min child weight, gamma, and lambda for regularization.
Q21. What loss function is used in Xgboost?
The loss function used in Xgboost is customizable and can be specified by the user.
Xgboost supports various loss functions such as binary logistic regression, multi-class classification, and regression.
The default loss function for binary classification is logistic regression while for regression it is mean squared error.
Users can specify their own loss function by defining a custom objective and evaluation function.
The objective function measures the difference between predi...read more
Q22. How to assess cash credit account statement
Assessing cash credit account statement involves analyzing the inflow and outflow of funds, identifying any discrepancies, and evaluating the borrower's creditworthiness.
Review the account statement for any irregularities or inconsistencies
Check the borrower's payment history and credit score
Assess the borrower's financial stability and ability to repay the loan
Compare the account statement with the borrower's financial statements and tax returns
Consider any external factors ...read more
Q23. Effect of Demonetisation on SMEs ?
Demonetisation had a mixed impact on SMEs in India.
SMEs with a large cash component were hit hard initially
Digital payments and formalisation of the economy benefited some SMEs
Overall, the impact on SMEs was not as severe as on larger businesses
SMEs in rural areas faced more challenges due to lack of digital infrastructure
Some SMEs had to shut down due to cash flow issues
Q24. Update on short term and long term solvency ratio?
Solvency ratio measures a company's ability to meet its debt obligations. Short term ratio focuses on current assets and liabilities, while long term ratio considers long term debt.
Short term solvency ratio is also known as the current ratio
It measures a company's ability to pay off its short term debts with its current assets
Formula: Current assets / Current liabilities
Long term solvency ratio is also known as the debt to equity ratio
It measures a company's ability to pay of...read more
Q25. How would you test variable importance
Variable importance can be tested using various methods such as permutation importance, drop column importance, and SHAP values.
Permutation importance involves randomly shuffling the values of a variable and measuring the decrease in model performance.
Drop column importance involves removing a variable from the model and measuring the decrease in model performance.
SHAP values provide a measure of the contribution of each variable to the model output.
Other methods include corr...read more
Q26. Difference Between Hedge Funds & Private Equity
Hedge funds are pools of capital managed aggressively while private equity invests in private companies with the aim of improving their operations.
Hedge funds are more actively managed and use a variety of investment strategies to generate high returns.
Private equity firms invest in private companies with the aim of improving their operations and then selling them for a profit.
Hedge funds are typically open to a wider range of investors, while private equity is usually only a...read more
Q27. effect of demonetization on the banking sector?
Demonetization had a mixed impact on the banking sector.
Initial impact was negative due to liquidity crunch and increased NPAs
However, in the long run, it led to increased deposits and digital transactions
Banks had to invest in technology to support digital transactions
Demonetization also led to increased financial inclusion and formalization of the economy
Q28. How is digitalization helping banks?
Digitalization is helping banks in multiple ways.
Improving customer experience through online banking and mobile apps
Reducing operational costs through automation and digitization of processes
Enhancing risk management through data analytics and AI
Enabling faster and more efficient transactions through blockchain technology
Expanding customer base through digital marketing and social media
Providing personalized financial advice through robo-advisors
Increasing transparency and s...read more
Q29. How to calculate EAD & PD?
EAD is calculated using the formula EAD = Exposure at Default = PD x LGD x EAD
Calculate Probability of Default (PD) based on historical data and credit rating
Determine Loss Given Default (LGD) based on collateral or recovery rate
Use the formula EAD = PD x LGD x EAD to calculate Exposure at Default
Q30. What is asset liability mismatch
Asset liability mismatch is when a company's assets and liabilities have different maturities or interest rates.
Occurs when a company's assets and liabilities have different maturities or interest rates
Can lead to financial instability and liquidity problems
Example: A bank that borrows short-term funds to lend long-term
Can be managed through asset-liability management techniques
Q31. Do you know about Financial Ratios?
Financial ratios are tools used to analyze a company's financial performance and health by comparing different aspects of its operations.
Financial ratios are used to evaluate a company's profitability, liquidity, solvency, and efficiency.
Examples of financial ratios include: debt-to-equity ratio, return on equity, current ratio, and gross margin.
These ratios help investors, creditors, and analysts assess the financial health of a company and make informed decisions.
Understand...read more
Q32. Difference between counterparty and credit risk?
Counterparty risk is the risk of default by a party in a financial transaction, while credit risk is the risk of loss due to a borrower's failure to repay a loan.
Counterparty risk is specific to financial transactions involving parties such as banks, brokers, or counterparties in derivatives contracts.
Credit risk is more general and refers to the risk of loss due to a borrower's failure to repay a loan or meet other financial obligations.
Counterparty risk is typically associa...read more
Q33. What is your basic understanding of Credit Analyst
Credit Analyst assesses the creditworthiness of individuals or companies by analyzing financial data and determining the likelihood of repayment.
Evaluate financial data such as income, assets, debts, and credit history
Assess risk factors and determine credit ratings
Make recommendations on credit limits and terms
Monitor and review credit accounts for potential risks
Communicate findings and recommendations to management or clients
Q34. Difference between Financial and Performance BG
Financial BG is for payment obligations while Performance BG is for non-payment obligations.
Financial BG is used to guarantee payment obligations such as loans, taxes, and customs duties.
Performance BG is used to guarantee non-payment obligations such as completion of a project or delivery of goods.
Financial BG is typically issued by banks while Performance BG can be issued by insurance companies or other financial institutions.
Financial BG is usually a fixed amount while Per...read more
Q35. Tell me about different classes of assets
Different classes of assets include fixed assets, current assets, intangible assets, and financial assets.
Fixed assets: Tangible assets like property, plant, and equipment
Current assets: Liquid assets like cash, accounts receivable, and inventory
Intangible assets: Non-physical assets like patents, trademarks, and goodwill
Financial assets: Investments like stocks, bonds, and derivatives
Q36. What is counterparty credit risk
Counterparty credit risk is the risk of loss due to a counterparty's failure to meet its financial obligations.
It is the risk that a counterparty will default on a financial obligation
It is a type of credit risk that arises from the potential that the counterparty will not fulfill its contractual obligations
It can be mitigated through credit analysis and risk management techniques
Examples include the risk of a borrower defaulting on a loan or a company failing to pay its supp...read more
Q37. What is the maximum limit of loan you deals with.
As a Credit Risk Analyst, I typically deal with loan limits ranging from $10,000 to $1,000,000 depending on the client's creditworthiness.
Loan limits can vary based on the client's credit score, income, and financial history.
I have experience analyzing and approving loans ranging from small personal loans to large commercial loans.
The maximum loan limit I have dealt with is $1,000,000 for a commercial real estate project.
I work closely with underwriters and financial institut...read more
Q38. Concept of pre and post shipment facility
Pre and post shipment facilities refer to credit facilities provided to exporters before and after shipment of goods.
Pre-shipment facility is a credit facility provided to exporters to finance the production and processing of goods before shipment.
Post-shipment facility is a credit facility provided to exporters to finance the period between shipment of goods and receipt of payment from the importer.
Pre-shipment facility can be in the form of packing credit, which covers expe...read more
Q39. Types of Financial Statements and Ratios
Financial statements include balance sheet, income statement, and cash flow statement. Ratios include liquidity, profitability, and solvency ratios.
Balance sheet shows a company's assets, liabilities, and equity at a specific point in time
Income statement shows a company's revenue, expenses, and net income over a period of time
Cash flow statement shows a company's cash inflows and outflows over a period of time
Liquidity ratios measure a company's ability to meet short-term ob...read more
Q40. What do you know about Shriram Finance
Shriram Finance is a leading non-banking financial company in India, specializing in vehicle financing.
Established in 1974
Offers a wide range of financial products including loans for commercial vehicles, passenger vehicles, and construction equipment
Has a strong presence in rural and semi-urban areas
Part of the Shriram Group, a prominent conglomerate in India
Q41. 5cs of credit
The 5 Cs of credit are character, capacity, capital, collateral, and conditions.
Character refers to the borrower's credit history and reputation.
Capacity refers to the borrower's ability to repay the loan based on income and expenses.
Capital refers to the borrower's assets and net worth.
Collateral refers to assets that can be used as security for the loan.
Conditions refer to the purpose of the loan and economic conditions that may affect the borrower's ability to repay.
Q42. Ratio analysis & Types of Ratio
Ratio analysis involves using financial ratios to evaluate a company's financial performance.
Ratio analysis is used to assess a company's liquidity, profitability, efficiency, and solvency.
Types of ratios include liquidity ratios, profitability ratios, efficiency ratios, and solvency ratios.
Liquidity ratios measure a company's ability to meet short-term obligations, such as the current ratio and quick ratio.
Profitability ratios measure a company's ability to generate profits,...read more
Q43. What is SBLC
SBLC stands for Standby Letter of Credit, which is a financial instrument used to guarantee payment.
SBLC is a type of letter of credit that serves as a backup payment option for the beneficiary in case the buyer defaults on payment.
It is often used in international trade transactions to reduce the risk of non-payment.
The issuing bank guarantees payment to the beneficiary if the buyer fails to fulfill their payment obligations.
SBLCs can be either funded or unfunded, depending ...read more
Q44. What is credit risk?
Credit risk refers to the potential loss that a lender may face if a borrower fails to repay a loan or debt.
Credit risk is the risk of default on a loan or debt by a borrower.
It is the possibility of loss due to non-payment of interest or principal by the borrower.
Credit risk can be mitigated by assessing the creditworthiness of the borrower and setting appropriate terms and conditions.
Examples of credit risk include default on a mortgage, credit card debt, or business loans....read more
Q45. How to prepare CAM sheet
A CAM sheet is prepared by analyzing the creditworthiness of a borrower and includes details about the borrower's financials, business operations, and management.
Gather financial statements and other relevant documents from the borrower
Analyze the borrower's financial ratios and performance indicators
Assess the borrower's industry and market conditions
Evaluate the borrower's management team and their experience
Summarize the findings in a concise and clear manner
Include recomm...read more
Q46. Experience with Cloud services
I have experience working with cloud services such as AWS, Azure, and Google Cloud.
Managed data storage and processing on AWS S3 and EC2 instances
Utilized Azure Machine Learning for predictive modeling
Implemented Google Cloud Platform for real-time data analytics
Q47. Familiarity with PySpark
PySpark is a Python API for Apache Spark, used for big data processing and analytics.
PySpark is a Python API for Apache Spark, a distributed computing system.
It allows for parallel processing of large datasets using Spark's distributed framework.
PySpark provides high-level APIs in Python for Spark programming, making it easier to work with big data.
Example: PySpark can be used for data preprocessing, machine learning, and data analysis tasks.
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